| Attention‐based spatial–temporal hierarchical ConvLSTM network for action recognition in videos F Xue, H Ji, W Zhang, Y Cao IET Computer Vision 13 (8), 708-718, 2019 | 19 | 2019 |
| Feature aggregation networks based on dual attention capsules for visual object tracking Y Cao, H Ji, W Zhang, S Shirani IEEE Transactions on Circuits and Systems for Video Technology 32 (2), 674-689, 2021 | 18 | 2021 |
| Continual graph convolutional network for text classification T Wu, Q Liu, Y Cao, Y Huang, XM Wu, J Ding Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 13754 …, 2023 | 9 | 2023 |
| Self-supervised video representation learning by maximizing mutual information F Xue, H Ji, W Zhang, Y Cao Signal processing: Image communication 88, 115967, 2020 | 9 | 2020 |
| Learning spatio-temporal context via hierarchical features for visual tracking Y Cao, H Ji, W Zhang, F Xue Signal Processing: Image Communication 66, 50-65, 2018 | 8 | 2018 |
| Visual tracking via dynamic weighting with pyramid-redetection based Siamese networks Y Cao, H Ji, W Zhang, F Xue Journal of Visual Communication and Image Representation 65, 102635, 2019 | 7 | 2019 |
| Action recognition based on dense trajectories and human detection F Xue, H Ji, W Zhang, Y Cao 2018 IEEE International Conference on Automation, Electronics and Electrical …, 2018 | 6 | 2018 |
| Extremely tiny Siamese networks with multi-level fusions for visual object tracking Y Cao, H Ji, W Zhang, S Shirani 2019 22th International Conference on Information Fusion (FUSION), 1-7, 2019 | 4 | 2019 |
| Neural topic modeling based on cycle adversarial training and contrastive learning B Wang, L Zhang, D Zhou, Y Cao, J Ding Findings of the Association for Computational Linguistics: ACL 2023, 9720-9731, 2023 | 3 | 2023 |
| Robust Visual Tracking via Weighted Extreme Learning Machine Y Cao, H Ji, W Zhang, P Yin 2016 Sixth International Conference on Instrumentation & Measurement …, 2016 | 1 | 2016 |
Hongbing Ji（姬红兵）Xidian UniversityVerified email at xidian.edu.cn
